Application (pre-grant publication)
PRIVACY PROTECTION FOR ENTERPRISE SYSTEMS
- Number
- 20230134781
- Published
- 2023-05-04
- Filed
- 2021-11-03
- Assignee
- Disney Enterprises, Inc.
- Inventors
- Senerth; Mark F. et al.
- CPC
- G06F21/6227; H04L9/0643; G06F21/6254; G06F21/6245; H04L9/0819; H04L9/0894
- Verdict
- Set aside enterprise privacy/security, IT
- Source
- Google Patents · FreePatentsOnline
Abstract
Techniques for electronic privacy protection are disclosed. A first data record is received, including one or more sensitive data fields and one or more non-sensitive data fields. One or more encrypted data fields are generated by encrypting the one or more sensitive data fields using an encryption key. One or more hashed data fields are generated by hashing the one or more sensitive data fields using a hash function. A first mapping is stored, associating at least a portion of the first data record with the encryption key. A second data record is stored, including the one or more non-sensitive data fields, the one or more encrypted data fields, and the one or more hashed data fields.
Background
BACKGROUND
Protecting consumer privacy is a challenging problem. Enterprise privacy protection should both protect sensitive data so that it cannot be tied back to a particular individual, and reduce, to the extent possible, the accessibility of sensitive data within the enterprise platform. This can help reduce data spill and increase protection for sensitive data. An undesirable approach to privacy protection can, however, cause significant problems for an organization. For example, it could create excessive organizational complexity, increasing the probability of costly misconfigurations. An undesirable approach can also have implications on the everyday operational compute costs. A privacy policy that is too restrictive also results in stunting creativity. An enterprise privacy solution should, instead, protect consumer privacy, while avoiding causing problems for the larger organization.